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    The Verge AIFriday, September 25, 2026 3 min read
    AI

    Anthropic’s biolab made a discovery it’s comparing to Crispr

    Anthropic's wet lab used nearly 950 Claude AI agents over 21 hours, processing 210 million tokens, to autonomously identify a previously uncharacterized enzyme system found in bacteriophages. The company is comparing the find to CRISPR, …

    Key takeaways
    • 01Human scientists contributed only the initial prompt and subsequent lab validation work.
    • 02The disclosure is strategically timed ahead of Anthropic's planned IPO and efforts to recruit scientists and expand into drug discovery.
    • 03The move reflects a broader AI industry push to demonstrate scientific value, with competitors like OpenAI pursuing similar plays in advanced mathematics.
    In brief · from theverge.com

    Anthropic's wet lab used nearly 950 Claude AI agents over 21 hours, processing 210 million tokens, to autonomously identify a previously uncharacterized enzyme system found in bacteriophages. The company is comparing the find to CRISPR, though practical applications remain undefined and the announcement is acknowledged as premature. Human scientists contributed only the initial prompt and subsequent lab validation work. The disclosure is strategically timed ahead of Anthropic's planned IPO and efforts to recruit scientists and expand into drug discovery.

    Read the full article at theverge.com

    Anthropic's wet lab used nearly 950 Claude AI agents over 21 hours, processing 210 million tokens, to autonomously identify a previously uncharacterized enzyme system found in bacteriophages. The company is comparing the find to CRISPR, though practical applications remain undefined and the announcement is acknowledged as premature. Human scientists contributed only the initial prompt and subsequent lab validation work. The disclosure is strategically timed ahead of Anthropic's planned IPO and efforts to recruit scientists and expand into drug discovery. The move reflects a broader AI industry push to demonstrate scientific value, with competitors like OpenAI pursuing similar plays in advanced mathematics.

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